Chapter 9

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Transcript Chapter 9

Forecasting Exchange Rates
South-Western/Thomson Learning © 2006
Corporate Motives for Forecasting Exchange Rates
Decide whether to
hedge foreign
currency cash flows
Decide whether to
invest in foreign
Decide whether
foreign subsidiaries
should remit earnings
Decide whether to
obtain financing in
foreign currencies
of the
Forecasting Techniques
• The numerous methods available for
forecasting exchange rates can be
categorized into four general groups:
 technical,
 fundamental,
 market-based, and
 mixed.
Technical Forecasting
• Technical forecasting involves the use of
historical data to predict future values.
¤ E.g. time series models.
• Speculators may find the models useful
for predicting day-to-day movements.
• However, since the models typically focus
on the near future and rarely provide point
or range estimates, they are of limited use
to MNCs.
Fundamental Forecasting
• In general, fundamental forecasting is limited by:
the uncertain timing of the impact of the factors,
the need to forecast factors that have an
immediate impact on exchange rates,
the omission of factors that are not easily
quantifiable, and
changes in the sensitivity of currency movements
to each factor over time.
Market-Based Forecasting
• Market-based forecasting uses market
indicators to develop forecasts.
• The current spot/forward rates are often
used, since speculators will ensure that
the current rates reflect the market
expectation of the future exchange rate.
• For long-term forecasting, the interest
rates on risk-free instruments can be used
under conditions of IRP.
Mixed Forecasting
• Mixed forecasting refers to the use of a
combination of forecasting techniques.
• The actual forecast is a weighted average
of the various forecasts developed.
Evaluation of Forecast Performance
• An MNC that forecasts exchange rates
should monitor its performance over time
to determine whether its forecasting
procedure is satisfactory.
• One popular measure, the absolute
forecast error as a percentage of the
realized value, is defined as:
| forecasted value – realized value |
realized value
Absolute Forecast Errors over Time
Using the Forward Rate as a Forecast for the British Pound
Evaluation of Forecast Performance
• MNCs are likely to have more confidence
in their forecasts as they measure their
forecast error over time.
• Forecast accuracy varies among
currencies. A more stable currency can
usually be more accurately predicted.
• If the forecast errors are consistently
positive or negative over time, then there
is a bias in the forecasting procedure.
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Forecast Bias over Time
for the British Pound
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Forecast Bias
• The following regression model can be
used to test for forecast bias:
realized value = a0 + a1  Ft – 1 + m
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Graphic Evaluation
of Forecast Performance
• If the points appear to be scattered evenly
on both sides of the perfect forecast line,
then the forecasts are said to be unbiased.
• Note that a more thorough assessment
can be conducted by separating the entire
period into subperiods.
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Forecast Bias in Different Subperiods
for the British Pound
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Forecasting Under Market Efficiency
• If the foreign exchange market is weakform efficient, then the current exchange
rates already reflect historical information.
So, technical analysis would not be useful.
• If the market is semistrong-form efficient,
then all the relevant public information is
already reflected in the current exchange
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Forecasting Under Market Efficiency
• If the market is strong-form efficient, then
all the relevant public and private
information is already reflected in the
current exchange rates.
• Foreign exchange markets are generally
found to be at least semistrong-form
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Forecasting Under Market Efficiency
• Nevertheless, MNCs may still find
forecasting worthwhile, since their goal is
not to earn speculative profits but to use
exchange rate forecasts to implement
• In particular, MNCs may need to determine
the range of possible exchange rates in
order to assess the degree to which their
operating performance could be affected.
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Exchange Rate Volatility
• A more volatile currency has a larger
expected forecast error.
• MNCs measure and forecast exchange
rate volatility so that they can specify a
range (confidence interval) around their
point estimate forecasts.
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Exchange Rate Volatility
• Exchange rate volatility can be forecasted
 recent (historical) volatility,
 a historical time series of volatilities (there
may be a pattern in how the exchange
rate volatility changes over time), and
 the implied standard deviation derived
from currency option prices.
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